From Scratch to Twin: the Design of Your First Human-Centric Digital Twin

Digital Twin (DT) technology is gaining prominence across various fields due to its ability to optimize decision-making and improve performance. However, the complexity and scale of traditional DT projects create significant barriers to accessibility, particularly for newcomers. To address this, we present Edu-IMHU, the first replicable framework for developing a personal human-centric DT that lowers entry barriers through a structured hands-on approach. Specifically, Edu-IMHU guides users through key stages: 1) creating a 3D MetaHuman-based virtual replica, 2) establishing real-time synchronization between the physical and digital worlds (digital shadow), and 3) developing an Artificial Intelligence (AI)-driven model for alertness detection. By offering an interactive learning experience, Edu-IMHU demystifies DT technology, making it comprehensible and accessible to individuals and organizations while exploring its potential and limitations in human-centric applications. The source code is available at https://github.com/esd-univr/from_scratch_to_twin.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/isie62713.2025.11124810
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
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article

From Scratch to Twin: the Design of Your First Human-Centric Digital Twin

Luigi Capogrosso, Marco Cristani, Franco Fummi, Francesco Biondani
1 citations
Digital Transformation in Industry
1.24
article

From Scratch to Twin: the Design of Your First Human-Centric Digital Twin

Luigi Capogrosso, Marco Cristani, Franco Fummi, Francesco Biondani
article en
1 citations

Abstract

Digital Twin (DT) technology is gaining prominence across various fields due to its ability to optimize decision-making and improve performance. However, the complexity and scale of traditional DT projects create significant barriers to accessibility, particularly for newcomers. To address this, we present Edu-IMHU, the first replicable framework for developing a personal human-centric DT that lowers entry barriers through a structured hands-on approach. Specifically, Edu-IMHU guides users through key stages: 1) creating a 3D MetaHuman-based virtual replica, 2) establishing real-time synchronization between the physical and digital worlds (digital shadow), and 3) developing an Artificial Intelligence (AI)-driven model for alertness detection. By offering an interactive learning experience, Edu-IMHU demystifies DT technology, making it comprehensible and accessible to individuals and organizations while exploring its potential and limitations in human-centric applications. The source code is available at https://github.com/esd-univr/from_scratch_to_twin.

University of Verona (IT)
Openalex Percentile: Top 16%
Digital Transformation in Industry
1.24
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